This is CS50’s introduction to computer science for business professionals.

Learn the process, techniques and tools for performing a digital forensics investigation to obtain data related to computer crimes.

Data Science Fundamentals Part II teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.

Data Science Fundamentals LiveLessons teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.

Learn the principles of machine learning and the importance of algorithms.

Discover the relationship between Big Data and the Internet of Things (IoT).

Data Science Fundamentals LiveLessons teaches you the foundational concepts, theory, and techniques you need to know to become an effective data scientist. The videos present you with applied, example-driven lessons in Python and its associated ecosystem of libraries, where you get your hands dirty with real datasets and see real results.

The Jupyter Notebook is a popular tool for learning and performing data science in Python (and other languages used in data science).

Show what you've learned from the Professional Certificate Program in Data Science.

Learn probability theory -- essential for a data scientist -- using a case study on the financial crisis of 2007-2008.

Learn to process and convert raw data into formats needed for analysis.

Keep your projects organized and produce reproducible reports using GitHub, git, Unix/Linux, and RStudio.

Learn inference and modeling, two of the most widely used statistical tools in data analysis.

Learn how to use R to implement linear regression, one of the most common statistical modeling approaches in data science.

Build a movie recommendation system and learn the science behind one of the most popular and successful data science techniques.

Learn the advanced programming topics in the C++ programming language, including functions, computation complexity, arrays and strings.

Learn the fundamentals of programming in the C++ programming language, including iteration, decision branching, data types and expression.

Learn the advanced programming topics in the C++ programming language, including file processing, linked lists, stacks, queues, trees, binary search trees and tree balancing algorithms.

Learn the fundamentals of interacting with relational database management systems, including issuing queries that return results sets and modify data.

Learn the fundamentals of interacting with relational database management systems, including issuing advanced queries that return complicated results sets.

Learn the fundamentals of administering relational database management systems, including managing concurrency and creating objects in the database.

Learn the advanced programming topics in the C++ programming language, including pointers, dynamic storage, recursion, searching, and sorting.

Understand cloud computing technologies and how they can increase business productivity and effectiveness.